51 to 75 of 89 Model Validation Jobs in London

role requires some knowledge of Price Risk processes covering inventory, valuations, front-to-back controls, market risk processes (Value-at-Risk VaR, Stress-testing), model risk (including model methodology and validation), product control (P&L explain), IPV (Independent Price Verification) and end to end governance. Successful execution … in class target state, as well as a set of practical actions to achieve. The workstreams range from frameworks with a focus on operating model, risk and controls, methodologies, data and data controls, front office valuations and controls, various market risk related workstreams to P&L attribution analysis (PAA … issues and collaborate with stakeholders to generate solutions Work with Control and Internal Audit stakeholders to ensure credible challenge throughout the remediation process and validation of results in line with Citi's Internal Audit requirements Present on status of the program to senior stakeholders within Citi Qualifications & skills More ❯

across Stress testing, Impairments, Businesses, Group Finance and Product Controls Valuations as part of BAU deliverables and regulatory requests. Maintain the ViR Framework, including model validation, documentation refresh and controls assessment. Contribute to project management aspects of ViR, such as tracking delivery, providing management updates, running governance forums More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

epigenomics, and metabolomics—to capture comprehensive cellular signatures. Your work will enable precise predictions of drug effects, driving innovation in drug discovery. Key Responsibilities: • Model Development: Design deep learning models integrating diverse omics data to create robust cell embeddings for digital twin technology. • Multi-Omics Integration: Develop and refine More ❯

tracking. Collaborate closely with AI engineers, machine learning specialists, and autonomous systems teams to ensure data collection aligns with the specific requirements of AI model training. Perform post-flight data quality checks and initial preprocessing to ensure the datasets are ready for use in training AI models. Operate drones More ❯

competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard More ❯

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we More ❯

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

all risks and regular monitoring of Delegated underwriting contracts. Construction, review and maintenance of pricing models for varied classes of business. Analysis of pricing model data including parameter validations. Support for syndicate business planning process. Production and review of pricing management information. New business initiative analyses and independent reviews. More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Job ID: Amazon EU SARL (UK Branch) Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with More ❯

Senior Business Intelligence Engineer, EU Hardlines CX, IDQ & Marketing Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯

to support generative AI workflows and large language models (LLMs) in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle … from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM) operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based … handling sensitive data. Evaluate and integrate MLOps tools (MLflow, Kubeflow, etc.) to enhance efficiency. Implement monitoring and alerting systems to detect anomalies and maintain model reliability. What We’re Looking For 3+ years of experience in software engineering, infrastructure, or MLOps roles. Proven expertise in building and maintaining ML More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯

Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias, explainability). Familiarity with resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring More ❯

Specialty business. You will provide consultation to senior managers and other groups on actuarial, underwriting, financial, and strategic matters. Core responsibilities include case pricing, model governance, and planning. You will work closely with: Underwriting and Portfolio Management: To enhance underwriting decisions through account pricing, portfolio analysis, and product development. … monitoring Monthly renewal rate monitoring and rate adequacy analysis Portfolio profitability analysis for new opportunities Support group pricing standards, analytics, and new products Capital Model and Business Plan Parameterisation Support validation of loss ratios and parameterise capital model risks Analyze claims frequency and severity distributions Work with More ❯

within Structured Rates at a leading investment bank. This position offers the opportunity to work directly with traders, quants, and risk teams, contributing to model assessment, optimization, and performance testing for exotic interest rate derivatives. You will work in a dynamic team of 13, where your contributions will directly … front-office career, this role provides a great opportunity for growth and increased exposure to trading activities. What You'll Do: Evaluate and refine model documentation to ensure quality and regulatory compliance. Collaborate with traders and quants to assess and understand the implications of model choices for structured … or scripts. Design, implement, and run new performance tests to optimize models for live trading environments. Debug and enhance C++ production code to improve model efficiency and accuracy. Propose, design, and implement alternative model components using Python (and ideally C++). Develop automated tools in Python to streamline More ❯

partner to women worldwide. The Job What you'll be doing You'll be responsible for: Leading GenAI technical strategy and implementation, including: Developing model benchmarking and evaluation frameworks Driving AI tooling development and integration Designing human-in-the-loop systems Establishing dataset collection and curation methodologies Architecting AI … infrastructure (model serving, monitoring, scaling) Optimizing performance and defining quality metrics Providing cross-functional leadership: Partnering with medical teams for model safety validation Collaborating with product teams to define model usefulness metrics and user needs Working alongside product peers on solution design and user experience Making More ❯

source, fostering collaboration and transparency within the scientific community. High-Impact Focus: We prioritize drug repurposing opportunities that can benefit neglected patient communities. Rigorous Validation: Promising opportunities are thoroughly validated through laboratory and clinical studies. Equitable Access: We are committed to ensuring that new cures are accessible to all … Data Scientist at Every Cure will be critical in applying large language models (LLMs), transformers, and cutting-edge machine learning methodologies to support downstream validation in drug repurposing predictions. The Data Scientist will collaborate with data engineers, clinical scientists, tech translators, and business leadership to develop, implement, and validate … advanced models and algorithms aimed at transforming drug discovery and repurposing. How you'll make an impact - Advance Model Development: Design, develop, and deploy LLM-based models and algorithms to generate and validate drug repurposing predictions. Innovate: Apply transformers and advanced NLP techniques in the context of biomedical knowledge More ❯

A/B experiments, gather data, and perform statistical analysis to validate your models. Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving. Explore and research innovative machine learning approaches to push the boundaries of what's possible. About the team The More ❯

tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics … volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling More ❯

tailored data driven solutions combined with insight generation. Key responsibilities Advanced Analytics Delivery: Lead end‑to‑end data analytics projects—data exploration, feature engineering, model development (ML/AI), validation, and deployment—tailored to solving client business problems Analytics Framework & Playbooks: Co‑create repeatable playbooks for common analytics … volume analysis), including code templates, visualization standards, and deployment guidelines. Insight Packaging & Storytelling: Architect and implement dashboards, reports, and narrative templates that translate complex model outputs into concise, actionable recommendations using different tools including Power BI or Tableau. Leverage cloud data processing frameworks like Databricks, or similar for handling More ❯

Senior Business Analyst – Front Office/Quantitative Development London Contract - inside IR35 £800-£900 per day We’re looking for a Senior Business Analyst with a strong technical background and experience working closely with quants in a front office environment. More ❯